The undersampled DWI image using Slice-Interleaved Diffusion Encoding (SIDE) method can be reconstructed by the UNet network.

Last update: Jan 13, 2022

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Overview

UNet-SIDE

The undersampled DWI image using Slice-Interleaved Diffusion Encoding (SIDE) method can be reconstructed by the UNet network.

For Super Resolution

$ python run.py --config_filename config/config_sr_new.json

For dwi prediction

$ python run.py --config_filename config/config_dwipred_new.json

Owner

TIANTIAN XU

GitHub Repository

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The undersampled DWI image using Slice-Interleaved Diffusion Encoding (SIDE) method can be reconstructed by the UNet network.

Related tags

Overview

UNet-SIDE

For Super Resolution

For dwi prediction

Owner

TIANTIAN XU

Real-Time SLAM for Monocular, Stereo and RGB-D Cameras, with Loop Detection and Relocalization Capabilities

code for our ECCV-2020 paper: Self-supervised Video Representation Learning by Pace Prediction

JupyterLite demo deployed to GitHub Pages 🚀

Using modified BiSeNet for face parsing in PyTorch

Simple sinc interpolation in PyTorch.

Magic tool for managing internet connection in local network by @zalexdev

A small tool to joint picture including gif

Depression Asisstant GDSC Challenge Solution

An expansion for RDKit to read all types of files in one line

Code for "Neural Parts: Learning Expressive 3D Shape Abstractions with Invertible Neural Networks", CVPR 2021

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Code accompanying the paper on "An Empirical Investigation of Domain Generalization with Empirical Risk Minimizers" published at NeurIPS, 2021

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